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Malik Imran

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Preprint Sep 2026

GRADE-RTL: Evaluating LLM-Generated RTL Beyond Compilation

Large language models (LLMs) can generate register-transfer-level (RTL) code from natural-language specifications, but compilation alone does not establish structural completeness, functional correctness, or implementation efficiency. This paper presents a framework for evaluating LLM-generated RTL beyond compilation,...

Hepziba Susan, R. ShivaranjaniG, Malik Imran et al. · 1 citation
Jul 2026

PIP-NTT: Towards a Scalable Memory-Parallelized Accelerator for Iterative NTT in PQC

This work proposes a memory-parallelization strategy using four smaller n/4-sized memories for ring size n, preserving the total memory footprint of conventional designs and introduces a multiplication-free rescaling architecture for the inverse NTT.

Malik Imran, A. Khalid, C. Rafferty et al. · 0 citations

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